Senior Software Engineer, AI Platform - Robotics at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Robotics, AIIndustries

Requirements

BS, MS, or PhD degree in Computer Science, Electrical Engineering, Computer Engineering, or related field (or equivalent experience)
5+ years of work experience in DevOps, backend, or cloud infrastructure engineering
Hands-on experience building and deploying microservices in Kubernetes-native environments
Proficiency in Golang or Python, especially for backend systems and operators
Experience with Helm, or other Kubernetes templating and config management tools
Familiarity with GitOps workflows, observability stacks (e.g., Prometheus, Grafana), and container CI/CD pipelines
Strong understanding of container networking, storage (e.g., PVCs, ephemeral), and scheduling

Responsibilities

Architect, develop, and deploy backend services supporting NVIDIA GR00T using Kubernetes and cloud-native technologies
Collaborate with ML, simulation, and robotics engineers to deploy scalable, reproducible, and observable multi-node training and inference workflows
Extend and maintain OSMO’s orchestration layers to support heterogeneous compute backends and robotic data pipelines
Develop Helm charts, controllers, CRDs, and service mesh integrations to support secure and fault-tolerant system operation
Implement microservices written in Go or Python that power GR00T task execution, metadata tracking, and artifact delivery
Optimize job scheduling, storage access, and networking across hybrid and multi-cloud Kubernetes environments (e.g., OCI, Azure, on-prem)
Build tooling that simplifies deployment, debugging, and scaling of robotics workloads

Skills

Key technologies and capabilities for this role

KubernetesGolangPythonHelmCRDsService MeshOCIAzuremicroservicesDevOps

Questions & Answers

Common questions about this position

What is the base salary range for this Senior Software Engineer position?

The base salary range is 148,000 USD - 287,500 USD, determined based on location and experience.

Is this a remote position, or is there a required location?

This information is not specified in the job description.

What are the key required skills for this role?

Required skills include 5+ years in DevOps, backend, or cloud infrastructure engineering, hands-on experience with Kubernetes-native microservices, proficiency in Golang or Python, experience with Helm or similar tools, and strong understanding of container networking, storage, and scheduling.

What is the company culture like at NVIDIA for this team?

NVIDIA has some of the most forward-thinking and hardworking people, and they seek creative and autonomous individuals.

What makes a candidate stand out for this position?

Candidates stand out with experience in ML training workflows and distributed job orchestration (e.g., MPI, Ray, Triton), knowledge of robotics frameworks like ROS2 or simulation tools like Isaac Sim, GPU cluster management, or contributions to open-source Kubernetes projects.

NVIDIA

Designs GPUs and AI computing solutions

About NVIDIA

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.

Santa Clara, CaliforniaHeadquarters

1993Year Founded

$19.5MTotal Funding

IPOCompany Stage

Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries

10,001+Employees

Benefits

Company Equity

401(k) Company Match

Risks

Increased competition from AI startups like xAI could challenge NVIDIA's market position.

Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.

Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.

Differentiation

NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.

The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.

NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Upsides

Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.

Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.

Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.

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